Regression, Data Mining, Text Mining, Forecasting using R
3.0 /5- Offered byUDEMY
Regression, Data Mining, Text Mining, Forecasting using R at UDEMY Overview
Duration | 33 hours |
Total fee | ₹649 |
Mode of learning | Online |
Credential | Certificate |
Regression, Data Mining, Text Mining, Forecasting using R at UDEMY Highlights
- Earn a certificate of completion from Udemy
- Learn from 36 downloadable resources & 5 articles
- Get full lifetime access of the course material
- Comes with 30 days money back guarantee
Regression, Data Mining, Text Mining, Forecasting using R at UDEMY Course details
- For IT professionals
- Learn about the usage of R for building Regression models
- Learn about the K-Means clustering algorithm & how to use R to accomplish the same
- Data Science using R is designed to cover majority of the capabilities of R from Analytics & Data Science perspective
- Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc
- Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understanding
- Learn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using R
Regression, Data Mining, Text Mining, Forecasting using R at UDEMY Curriculum
Introduction to Data Science
Introduction
Data Generation and Information Age
Big Data And Getting Drenched In Data
Why Data Science.....?
Basic Statistics
Data Types And Preliminaries
Random Variable
What Is Probability...?
Probability Distribution
Recap Of Concepts And Probability Applications
Sampling Funnel
Measures Of Central Tendency
Measures Of Dispersion
Measures Of Dispersion Part-2
Excpected Value And Variance For Discrete Data
Preliminaries Of R and RStudio
Various Components And Basics Of RStudio
Data Visualization Using R-Barplot,Histogram,Skewness
3rd And 4th Moment Business Decision
Recap And Box Plot
Normal Distribution-Part 1
Normal Distribution-Part 2 & Standarad Normal Distribution
Standard Normal Distribution -Part 2
Calculating Probabilities From Z-Distribution
Sampling Variation, Sample size & Central Limit Theorem
Normal Quantile Plot (Q-QPlot)
Recap Confidence Interval
Confidence Interval Z-Distribution Part-1
Confidence Interval Z-Distribution Part-2
Confidence Interval Interpretation
Confidence Interval T-Distribution
Recap Basic Statistics
Hypothesis Testing Introduction
Hypothesis Testing Introduction
Hypothesis Testing Formulation
Hypothesis Testing- Parametric
2 Sample T-Test Part-1
2 Sample T-Test Part-2
2 Sample T-Test Part-3
1 Sample Z Test Part-1
1 Sample Z Test Part-2
1 Sample T Test
One Way ANOVA Part-1
One Way ANOVA Part-2
One Way ANOVA Part-3
ANOVA-Intuition Part 1
ANOVA-Intuition Part 2
ANOVA-1,2 Multiple Way
Tukey Pairwise Comparisons Part-1
Tukey Pairwise Comparisons Part-2
2 Proportion Test
Chi Square Test
Hypothesis Testing- Non Parametric
1 Sample Sign Test
Mann Whitney Test
Paired T Test Assumption
Paired T Test
Moods Median Test
Basics of R Programming
Basic Programing Using R Part 1
Basic Programing Using R Part 2
Basic Programing Using R Part 3
Basic Programing Using R Part 4
R Programming Case Study Part 1
R Programming Case Study Part 2
R Programming Case Study Part 3
R Programming Case Study Part 4
Stastical Packages In R
R Programming Case Study Using Inbuilt Datasets
Case Study On Data Visualization Using R Part 1
Case Study On Data Visualization Using R Part 2
Case Study On Data Visualization Using R Part 3
Case Study On Data Visualization Using R Part 4
Recap Exploratory Data Analysis
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